Face Recognition
A human face provides a variety of different communicative functions, such
as identification and perception of emotional expression. Face recognition
has been an active research area in the computer vision community over last
decade. In this area, we are interested in both theoretical problems and
applications of face recognition to human computer interaction. Currently,
we are developing technologies for two scenarios: (1) complex indoor
environment, such as a meeting room and a nursing home, (2) mobile agent,
e.g., a PDA based face recognition system.
Related Publications:
R. Stiefelhagen, X. Chen, J. Yang, Capturing Interactions in Meetings with Omnidirectional Cameras, International Journal of Distance Education Technologies, Volume 3, No.3, pp. 34-47, 2005.
J. Yang, X. Chen, W. Kunz, H. Kundra, Face as an index: Knowing who is who
using a PDA, International Journal of Imaging Systems and
Technology, Vol. 13, No. 1, pp. 33-41, 2003.
J. Yang, X. Chen, W. Kunz, A PDA-based Face Recognition System,
Proceedings of WACV 2002, Orlando, Fl. December, 2002.
H. Yu and J. Yang, A Direct LDA Algorithm for High-dimensional Data -
with Application to Face Recognition, Pattern Recognition,
Vol. 34 (2001), pp 2067-2070.
J. Yang, H. Yu, W. Kunz, An Efficient LDA Algorithm for Face Recognition,
International Conference on Automation, Robotics, and Computer Vision
(ICARCV'2000), Singapore, December, 2000.
R.Gross, J. Yang, A. Waibel, Growing Gaussian Mixture Model for Pose
Invariant Face Recognition, International Conference on Pattern
Recognition (ICPR 2000), Barcelona, Spain, Sept. 2000.
R. Gross, J. Yang, A. Waibel, Face Recognition in a Meeting Room,
Proceedings of Fourth IEEE International Conference on Automatic
Face and Gesture Recognition (FG'2000).
J. Yang, X. Zhu, R. Gross, J. Kominek, Y. Pan, A. Waibel, Multimodal
People ID for a Multimedia Meeting Browser, Proceedings of ACM
Multimedia 99.
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Last updated August, 2005
